At a Glance
- Tasks: Build and improve risk-scoring models to assess customer creditworthiness.
- Company: Join a dynamic UK fintech revolutionising banking in emerging markets.
- Benefits: Negotiable salary, share options, and exciting benefits on the way.
- Other info: Be part of a fun, empowering culture with excellent growth opportunities.
- Why this job: Make a real impact by turning complex data into actionable insights.
- Qualifications: 5+ years in Data Science with strong Python and SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
Your Role: As a Senior Data Scientist focused on risk modelling, you will be responsible for building, improving and monitoring scoring models used to assess customer creditworthiness across our markets. You’ll work closely with business, analytics and engineering teams to translate data into critical decisions.
What You Will Be Doing:
- Develop and implement application and behavioral risk-scoring models
- Perform feature engineering to improve predictive power and model performance
- Analyze data to identify trends and opportunities to improve scoring logic
- Collaborate with developers and business analysts to integrate models into production systems
- Monitor and analyze model performance in production and iterate for improvement
Who You Are:
- Independent and proactive—you take ownership of problems and drive solutions
- Analytical thinker—you enjoy working with complex data and turning it into actionable insight
- Effective communicator—you can clearly explain models and outcomes to non-technical stakeholders
- Curious and impact-driven—you want your models to make a real difference
Your Experience:
- 5+ years in Data Science with hands-on experience building scoring models
- Deep knowledge of machine learning and statistical modeling techniques
- Strong Python skills (Pandas, Scikit-learn, TensorFlow, PyTorch)
- Proficiency in feature engineering and model selection
- Strong SQL skills and experience working with large datasets
- Experience communicating with cross-functional teams including non-technical partners
What We Are Offering:
- Competitive salary is negotiable depending on the candidate's level
- Share options
- We are still a start-up and more benefits are on the way
About Fintech Farm: We are a UK fintech creating successful neobanks in emerging markets in partnerships with local traditional banks. The mission is to make banking services accessible, simple and fun to use worldwide and the goal is to launch neobanks in 50+ markets, serving 100m+ customers. Since our foundation in 2020, we’ve so far launched neobanks in Azerbaijan (2021), Vietnam (2023), Kyrgyzstan (2024) and India (2025), with 2m+ customers collectively and have more markets on the near horizon!
Why Fintech Farm is a great place to be:
- Customers. We always go above and beyond to provide an amazing customer experience. And who said that banking has to be boring? We make our apps not just easy but fun to use.
- People. We have 250 employees and we’re all business partners in our company - each with stock options that give us a real stake in the business. As we grow and succeed, we all share in the upside. We work with strong individuals whom we empower and trust rather than micromanage. We always stay curious and open-minded.
Senior Data Scientist employer: Fintech Farm Ltd
Fintech Farm Ltd is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from competitive salaries, share options, and ample opportunities for professional growth, making it an ideal place for those looking to make a meaningful impact in the fintech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Fintech Farm Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist at Fintech Farm Ltd.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Fintech Farm Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at Fintech Farm Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Fintech Farm Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Fintech Farm Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Fintech Farm Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Fintech Farm Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
